Sr Lead Engineer - I_Azure

About the role

We are seeking a Senior Azure AI Document Intelligence Engineer to design, train, and optimize AI-powered contract and invoice OCR solutions. This role focuses on achieving 98-99%+ extraction accuracy across complex supply-chain and procurement documents through advanced machine learning, document classification, validation frameworks, and intelligent automation.

Responsibilities

• Analyse invoice and contract variations across suppliers, countries, languages, formats, and scan-quality levels.
• Define the document taxonomy and extraction schema for:
  • Invoice headers
  • Contract metadata
  • Purchase-order references
  • Supplier and customer information
  • Dates, currencies, taxes, discounts, and totals
  • Payment terms, renewal dates, obligations, and termination clauses
  • Tables and invoice line items
• Evaluate Azure AI Document Intelligence prebuilt models (invoice, layout, custom neural, custom template, classification, and composed-model capabilities).
• Build and train custom document classifiers and extraction models.
• Prepare, label, clean, balance, and version training and evaluation datasets.
• Implement document preprocessing for rotation, skew, noise, resolution, page separation, and scan-quality issues.
• Develop confidence-scoring and validation strategies using field-level and OCR-level confidence signals.
• Implement deterministic validation rules, including:
  • Subtotal, tax, and total reconciliation
  • Currency and date validation
  • Purchase-order and supplier matching
  • Duplicate-document detection
  • Required-field and cross-field consistency checks
• Establish confidence thresholds and human-review rules for uncertain extractions.
• Perform error analysis by document type, supplier, field, language, and scan quality.
• Create automated evaluation pipelines reporting exact-match accuracy, precision, recall, F1 score, false-positive rates, and false-negative rates.
• Monitor model drift and retrain models when document formats or business requirements change.
• Document model versions, training data, experiments, limitations, and release decisions.
• Collaborate with supply-chain, procurement, accounts-payable, legal, and engineering teams.

Requirements

• Minimum 10+ years of relevant experience.
• Engineering degree (BE/ME/BTech/MTech/BSc/MSc). Technical certification in multiple technologies is desirable.

Skills

• Mandatory Skills:
  • Minimum 4+ years of experience in machine learning, OCR, computer vision, NLP, or intelligent document processing.
  • Hands-on experience with Azure AI Document Intelligence or a comparable enterprise document-processing platform.
  • Strong Python development skills.
  • Experience with REST APIs, JSON, Azure SDKs, and asynchronous processing.
  • Experience training and evaluating document classification and field-extraction models.
  • Strong understanding of accuracy, precision, recall, F1 score, confidence calibration, and test-set design.
  • Experience extracting complex tables and variable-length line items.
  • Experience creating labelled datasets and maintaining data-quality standards.
  • Familiarity with invoices, purchase orders, contracts, or supply-chain documents.
  • Strong analytical, debugging, and technical-documentation skills.
• Preferred Qualifications:
  • Experience with Azure Machine Learning, MLflow, Azure AI Search, or Azure OpenAI.
  • Experience with multilingual documents.
  • Familiarity with contract clause extraction and legal-document processing.
  • Knowledge of ERP or procurement systems such as SAP, Oracle, Dynamics 365, Coupa, or Ariba.
  • Experience implementing active learning, model-drift monitoring, and human-in-the-loop workflows.
  • Knowledge of data privacy and document-retention requirements.

Success Measures

• 99% exact-match accuracy for approved critical fields.
• 98% exact-match accuracy across all agreed fields.
• Accuracy maintained across suppliers, formats, and document-quality categories.
• Measurable reduction in manual corrections and review time.
• Documented improvement process for fields that miss their thresholds.
• No production model deployed without passing the approved evaluation suite.

Schedule

Hybrid (3 days work from office in Irving, TX).

Skills (Technologies)

• Azure AI Document Intelligence
• Azure Databricks
• OpenAI / GenAI
• Azure Machine Learning
• MLflow
• Azure AI Search
• SQL
• Contract and Invoice OCR